Synthetic Approach for Scenario-Based Performance Estimation of Connected Vehicles Operating at Highway Facilities

Abstract

Connected Vehicle (CV) systems are envisioned to enhance a wide range of safety, mobility and environmental aspects to highway traffic. A critical research need lies in clarifying the cause-and-effect mechanism between the CV information and driver behaviors and subsequent adaptive resiliency of improvement in operation, safety, and emissions reductions. A novel approach is hence created via developing the simulation-based tool, Synthetic Adaptive V2X Effect (SAVE) Estimator, to explore the interactions between the CV system and transportation performance. This presentation will introduce preliminary results from the speaker’s on-going research on identifying factors possibly affecting travel behavior and rationale of their aggregated impact on mobility, safety, and vehicle emission in support of simulated outcomes of synthesized scenarios at a freeway and ramp conjunction facility in the Cincinnati are, Ohio (USA). The framework and associated modeling methodology for the development of the SAVE Estimator will be also introduced alongside the discussion of the case study.